Abstract: Machine learning has been increasingly applied in identification of fraudulent transactions. However, most application systems detect duplicitous activities after they have already occurred, ...

Traditional threat modeling too often comes late to the party, or sometimes not at all. In addition, creating manual data flows and reports can be extremely time-consuming. The goal of pytm is to ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

This repository is a collection of Python library code for building Python applications. The code is collected from Google's own Python code base, and has been extensively tested and used in ...